{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:16:01Z","timestamp":1750220161048,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T00:00:00Z","timestamp":1648166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,3,25]]},"DOI":"10.1145\/3531028.3531035","type":"proceedings-article","created":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T16:21:50Z","timestamp":1657297310000},"page":"40-49","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Machine Learning Based Fuel Consumption Saving Method with Time and Environment Dependency Aware Management"],"prefix":"10.1145","author":[{"given":"Peng","family":"Yu","sequence":"first","affiliation":[{"name":"Computer Science and Technology, Nanjing University of Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroyuki","family":"Yamauchi","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Fukuoka Institute of Techonology, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.17083\/ijsg.v5i4.266"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2017.08.012"},{"key":"e_1_3_2_1_3_1","first-page":"906","article-title":"Exploring Trip Fuel Consumption by Machine Learning from GPS and CAN Bus Data","author":"Weiliang ZENG","year":"2015","unstructured":"Weiliang ZENG , Tomio MIWA, Takayuki MORIKAWA[J]. 2015 . Exploring Trip Fuel Consumption by Machine Learning from GPS and CAN Bus Data . Journal of the Eastern Asia Society for Transportation Studies. 906 - 921 . https:\/\/doi.org\/10.11175\/easts.11.906 Weiliang ZENG, Tomio MIWA, Takayuki MORIKAWA[J]. 2015. Exploring Trip Fuel Consumption by Machine Learning from GPS and CAN Bus Data. Journal of the Eastern Asia Society for Transportation Studies. 906-921. https:\/\/doi.org\/10.11175\/easts.11.906","journal-title":"Journal of the Eastern Asia Society for Transportation Studies."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2525314.2525358"},{"key":"e_1_3_2_1_5_1","volume-title":"Real-world fuel consumption of light-duty passenger vehicles using on-board diagnostic (OBD) systems. Frontiers of Environmental Science & Engineering volume","author":"Zheng Xuan","year":"2018","unstructured":"Xuan Zheng , Sheng Lu , Liuhanzi Yang , Min Yan , Guangyi Xu , Xiaomeng Wu , Lixin Fu & Ye Wu. 2020. Real-world fuel consumption of light-duty passenger vehicles using on-board diagnostic (OBD) systems. Frontiers of Environmental Science & Engineering volume , 2018 , 38(5): 1783-1790, https:\/\/doi.org\/10.1007\/s11783-019-1212-6. Xuan Zheng, Sheng Lu, Liuhanzi Yang, Min Yan, Guangyi Xu, Xiaomeng Wu, Lixin Fu & Ye Wu. 2020. Real-world fuel consumption of light-duty passenger vehicles using on-board diagnostic (OBD) systems. Frontiers of Environmental Science & Engineering volume, 2018, 38(5): 1783-1790, https:\/\/doi.org\/10.1007\/s11783-019-1212-6."},{"key":"e_1_3_2_1_6_1","article-title":"Traffic Information Service Collaboration System under the Big Data Environment of Internet of Vehicles","volume":"2014","author":"Zongtao Duan","year":"2018","unstructured":"Duan Zongtao , Kang Jun , Tang Lei . 2018 . Traffic Information Service Collaboration System under the Big Data Environment of Internet of Vehicles , Journal of Chang'an University: Natural Science Edition , 2014 , 34(2): 108-114.. Duan Zongtao, Kang Jun, Tang Lei. 2018. Traffic Information Service Collaboration System under the Big Data Environment of Internet of Vehicles, Journal of Chang'an University: Natural Science Edition, 2014, 34(2): 108-114..","journal-title":"Journal of Chang'an University: Natural Science Edition"},{"key":"e_1_3_2_1_7_1","unstructured":"Scott Lundberg Su-In Lee. 2017. A Unified Approach to Interpreting Model Predictions. arXiv:1705.07874.  Scott Lundberg Su-In Lee. 2017. A Unified Approach to Interpreting Model Predictions. arXiv:1705.07874."},{"key":"e_1_3_2_1_8_1","volume-title":"2017 IEEE International Conference on Big Data (IEEE BigData 2017)","author":"Lu\u00eds","year":"2017","unstructured":"Perrotta, Federico; Parry, Tony; Neves, Lu\u00eds C[J]. 2017 . Application of machine learning for fuel consumption modelling of trucks . 2017 IEEE International Conference on Big Data (IEEE BigData 2017) IEEE. 3810-3819, https:\/\/doi:10.1109\/BigData.2017.8258382 Perrotta, Federico; Parry, Tony; Neves, Lu\u00eds C[J]. 2017. Application of machine learning for fuel consumption modelling of trucks. 2017 IEEE International Conference on Big Data (IEEE BigData 2017) IEEE. 3810-3819, https:\/\/doi:10.1109\/BigData.2017.8258382"},{"key":"e_1_3_2_1_9_1","volume-title":"A Highly Efficient Gradient Boosting Decision Tree. Part of Advances in Neural Information Processing Systems 30 (NIPS","author":"Ke Guolin","year":"2017","unstructured":"Guolin Ke , Qi Meng , Thomas Finley , Taifeng Wang , Wei Chen , Weidong Ma , Qiwei Ye , Tie-Yan Liu[J]. 2017. A Highly Efficient Gradient Boosting Decision Tree. Part of Advances in Neural Information Processing Systems 30 (NIPS 2017 ), 30: 3146-3154 Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu[J]. 2017. A Highly Efficient Gradient Boosting Decision Tree. Part of Advances in Neural Information Processing Systems 30 (NIPS 2017), 30: 3146-3154"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Huimin Lu Yin Zhang and Chi Jiang [J]. 2020. User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications IEEE Transactions on Intelligent Transportation Systems(99):1-12 https:\/\/doi:10.1109\/TITS.2020.2991766  Huimin Lu Yin Zhang and Chi Jiang [J]. 2020. User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications IEEE Transactions on Intelligent Transportation Systems(99):1-12 https:\/\/doi:10.1109\/TITS.2020.2991766","DOI":"10.1109\/TITS.2020.2991766"},{"key":"e_1_3_2_1_11_1","article-title":"Improving stacking methodology for combining classifiers: applications cosmetic industry","volume":"09","author":"Gomes Charles","year":"2016","unstructured":"Charles Gomes , Hisham Nocairi , Marie Thomas , Gilbert Saporta . 2016 . Improving stacking methodology for combining classifiers: applications cosmetic industry . Electronic Journal of Applied Statistical Analysis. Vol. 09 , Issue 02, October 2016, 340-361. https:\/\/doi.org\/10.1285\/i20705948v9n2p340 Charles Gomes, Hisham Nocairi, Marie Thomas, Gilbert Saporta. 2016. Improving stacking methodology for combining classifiers: applications cosmetic industry. Electronic Journal of Applied Statistical Analysis. Vol. 09, Issue 02, October 2016, 340-361. https:\/\/doi.org\/10.1285\/i20705948v9n2p340","journal-title":"Electronic Journal of Applied Statistical Analysis."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Peng Yu Jiazhen Xi and Hiroyuki Yamauchi[J] 2021 Time and Environment Dependency Aware Fuel Consumption Tracking Method for Improving Drivers and Trucks Management. 2021 36th International Technical Conference on Circuits\/Systems Computers and Communications (ITC-CSCC) 1-4. https:\/\/doi.org\/10.1109\/ITC-CSCC52171.2021  Peng Yu Jiazhen Xi and Hiroyuki Yamauchi[J] 2021 Time and Environment Dependency Aware Fuel Consumption Tracking Method for Improving Drivers and Trucks Management. 2021 36th International Technical Conference on Circuits\/Systems Computers and Communications (ITC-CSCC) 1-4. https:\/\/doi.org\/10.1109\/ITC-CSCC52171.2021","DOI":"10.1109\/ITC-CSCC52171.2021"},{"key":"e_1_3_2_1_13_1","unstructured":"Scott M. Lundberg Gabriel G. Erion Su-In Lee. 2019. Consistent Individualized Feature Attribution for Tree Ensembles. arXiv:1802.03888.  Scott M. Lundberg Gabriel G. Erion Su-In Lee. 2019. Consistent Individualized Feature Attribution for Tree Ensembles. arXiv:1802.03888."},{"issue":"10","key":"e_1_3_2_1_14_1","first-page":"84","article-title":"Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification. Environments","volume":"7","author":"McCary Dakota Aaron","year":"2020","unstructured":"Dakota Aaron McCary , Hyun Woo Kim , and Hye Kyung Lee[J]. 2020 . Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification. Environments , Special Issue Deployment of Green Technologies for Sustainable Environment 7 ( 10 ): 84 . https:\/\/doi.org\/10.3390\/environments7100084 Dakota Aaron McCary,Hyun Woo Kim, and Hye Kyung Lee[J]. 2020. Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification. Environments, Special Issue Deployment of Green Technologies for Sustainable Environment 7(10):84. https:\/\/doi.org\/10.3390\/environments7100084","journal-title":"Special Issue Deployment of Green Technologies for Sustainable Environment"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2019.03.001"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/IESM45758.2019.8948175"},{"key":"e_1_3_2_1_17_1","volume-title":"Big Data Technology and Applications in Intelligent Transportation","author":"Mohammed Sabah","year":"2020","unstructured":"Sabah Mohammed , Hamid R. Arabnia , Xiaobo Qu , Dalin Zhang , Tai-Hoon Kim , Jiandong Zhao . 2007. Big Data Technology and Applications in Intelligent Transportation . IEEE Access Special Section Editorial. https:\/\/doi.org\/10.1109\/access. 2020 .3035440. Sabah Mohammed, Hamid R. Arabnia, Xiaobo Qu, Dalin Zhang, Tai-Hoon Kim, Jiandong Zhao. 2007. Big Data Technology and Applications in Intelligent Transportation. IEEE Access Special Section Editorial. https:\/\/doi.org\/10.1109\/access.2020.3035440."},{"key":"e_1_3_2_1_18_1","volume-title":"The log transformation is special. Statistics in Medicine","author":"Keene Oliver N.","year":"1995","unstructured":"Oliver N. Keene . 1995. , The log transformation is special. Statistics in Medicine . 1995 .14(8):811-819 Oliver N. Keene. 1995., The log transformation is special. Statistics in Medicine. 1995.14(8):811-819"}],"event":{"name":"ICECC 2022: The 2022 5th International Conference on Electronics, Communications and Control Engineering","acronym":"ICECC 2022","location":"Higashi-ku Japan"},"container-title":["The 2022 5th International Conference on Electronics, Communications and Control Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3531028.3531035","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3531028.3531035","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:26Z","timestamp":1750186826000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3531028.3531035"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,25]]},"references-count":18,"alternative-id":["10.1145\/3531028.3531035","10.1145\/3531028"],"URL":"https:\/\/doi.org\/10.1145\/3531028.3531035","relation":{},"subject":[],"published":{"date-parts":[[2022,3,25]]},"assertion":[{"value":"2022-07-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}